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- Goienetxea Uriarte, Ainhoa, et al.
(författare)
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An Innovative Collaboration Between Industry, University and Nonprofit Agency, for a Competitive Industry : A Swedish case
- 2011
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Ingår i: ICERI 2001. - : International Association of Technology, Education and Development, IATED. - 9788461533244 ; , s. 4154-4162
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Konferensbidrag (refereegranskat)abstract
- In a knowledge based economy, manufacturing industry has to continuously improve their operations, processes and develop their employees in order to remain competitive in the market.In this context, the collaboration between industry and universities becomes of vital importance. Universities and industry have traditionally maintained fairly informal or lose ways of cooperation when it comes to education. This article presents a fruitful cooperation which has been established between the University of Skövde, the Industrial Development Center in the region, IDC West Sweden AB, and the manufacturing industry.The paper describes the development, lessons learned and the outcome of more than 3 years’ experience of close collaboration between the different stakeholders. It presents a methodology, used by the consortium to help manufacturing industries to improve their competiveness using a well defined process including: a company analysis, applied education and long-term coaching. A special focus is put on a long-term commitment by all partners. This alliance has performed more than 140 company analysis, conducted applied education for more than 2500 employees from more than 120 companies and performed coaching of more than 80 companies on site. The trend is that these figures will increase over time.The established collaboration has been strengthened over this period of time by a number of shared research projects. One of these projects involves an evaluation of the impact that this presented consortium has had on the region´s industry. Lean Learning Academies is another project that has been funded by the European Union within the Lifelong Learning Program, with the aim to increase the competitiveness of European companies and enhance the employability of students.
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| 2. |
- Goienetxea Uriarte, Ainhoa, et al.
(författare)
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Improved system design of an emergency department through simulation-based multiobjective-optimization
- 2014
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Konferensbidrag (refereegranskat)abstract
- Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.
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| 3. |
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| 4. |
- Urenda Moris, Matías, et al.
(författare)
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Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet
- 2012
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Ingår i: Ingenieria Industrial. - : Universidad del Bio-Bio. - 0717-9103 .- 0718-8307. ; 11:1, s. 37-49
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Los ingenieros de producción buscan contínuamente configuraciones óptimas de sus sistemas productivos, con el fin de alcanzar el máximo rendimiento en los mismos. Este es un trabajo que consume mucho tiempo en la industria, y rara vez se le conceden los recursos necesarios para que las decisiones a tomar sean las acertadas. Para poder tomar estas decisiones de una manera más eficiente, es necesario disponer de herramientas nuevas e innovadoras.Este artículo presenta la segunda generación de FACTS Analyzer, una herramienta cuya función se basa en la integración de una variedad de metodologías y técnicas, incluyendo: el modelado rápido por medio de un nuevo concepto de agregación y funciones simplificadas, la generación de modelos de simulación de manera automática y optimización mediante simulación apoyada por una innovadora arquitectura basada en Internet. Dichas metodologías y técnicas permiten que la simulación sea mucho más fácil de utilizar, y aceleran el tiempo de diseño y desarrollo de modelos, la fase de experimentación y los procesos de optimización, con el fin de apoyar el proceso de toma de decisiones. FACTS Analyzer es el resultado de varios años de investigación y desarrollo, en estrecha colaboración con la industria automotriz en Suecia.
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